وظائف مطورين بايثون - بيروت لبنان

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a talented and motivated Python Developer to join our dynamic engineering team. As a key contributor, you will be responsible for designing, building, and maintaining efficient, reusable, and reliable Python code. If you are passionate about software development, enjoy solving complex problems, and thrive in a collaborative environment, we want to hear from you. Job Purpose The primary purpose of this role is to develop high-quality software solutions using Python, ensuring optimal performance, scalability, and reliability of our applications while collaborating with cross-functional teams to deliver on business objectives. Job Duties and Responsibilities Write and maintain clean, scalable Python code Develop and integrate RESTful APIs Collaborate with front-end developers to integrate user-facing elements Identify and fix bottlenecks and bugs Participate in code reviews and knowledge sharing Design and implement data storage solutions Write unit tests and ensure code quality Contribute to system architecture decisions</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proficiency in Python programming</li><li>Experience with web frameworks (e.g., Django, Flask, FastAPI)</li><li>Understanding of RESTful API design</li><li>Knowledge of database systems (SQL and NoSQL)</li><li>Familiarity with version control (Git)</li><li>Strong problem-solving skills</li><li>Excellent communication and teamwork abilities</li><li>Experience with testing frameworks (e.g., PyTest, unittest)</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Automation &amp; Digitalization / AI &amp; Solution Development:</p><p><br></p><p>Computer Science / Strong analytical and problem-solving skills with a foundation in software development (Python/JavaScript) and a keen interest in AI, automation, and digital systems.</p><p><br></p><p>Candidates should be self-motivated, fast learners with the ability to adapt quickly, work collaboratively, and translate ideas into practical, scalable solutions.</p><p><br></p><p>Work schedule is part time preferably on-premises, Monday to Friday from 10am to 3pm, with flexible hybrid option available. Candidate monthly fee will range from 150$ to 300$ per month based on candidate skills and previous expertise (if any).</p><p><br></p><p>We require candidates to be living in or very near to Beirut. We do not accept candidates who live far from Beirut.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Computer Science / Strong analytical and problem-solving skills with a foundation in software development (Python/JavaScript) and a keen interest in AI, automation, and digital systems.</p><p>Candidates should be self-motivated, fast learners with the ability to adapt quickly, work collaboratively, and translate ideas into practical, scalable solutions.</p><p>Work schedule is part time preferably on-premises, Monday to Friday from 10am to 3pm, with flexible hybrid option available.</p><p>We require candidates to be living in or very near to Beirut. We do not accept candidates who live far from Beirut.</p><p></p></section>

Automation & Digitalization / AI & Solution Development: <br> <br>Computer Science / Strong analytical and problem-solving skills with a foundation in software development (Python/JavaScript) and a keen interest in AI, automation, and digital systems. <br> <br>Candidates should be self-motivated, fast learners with the ability to adapt quickly, work collaboratively, and translate ideas into practical, scalable solutions. <br> <br>Work schedule is part time preferably on-premises, Monday to Friday from 10am to 3pm, with flexible hybrid option available. Candidate monthly fee will range from 150$ to 300$ per month based on candidate skills and previous expertise (if any). <br> <br>We require candidates to be living in or very near to Beirut. We do not accept candidates who live far from Beirut. <br> <br>Interested candidates, please send your CV & intro letter via email. <br> <br>Best wishes, <br>Mohamad-Rabih Chatila <br>CEO

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>We're looking for a mid-level AI Product Engineer to join the RentWorks Plus team. You'll sit at the intersection of QA, AI automation, and product engineering designing automated test suites, building intelligent workflows, and creating AI-powered tools that directly shape how our customers experience the product.</p><p>What You'll Be Doing</p><ul><li>Design, build, and maintain automated end-to-end test suites using Playwright</li><li>Write and maintain BDD-style tests using Cucumber (Gherkin)</li><li>Build and manage N8N automation workflows for testing pipelines, customer support, sales, and internal ops</li><li>Maintain an automated quality dashboard with scheduled test runs, health checks, and trend reporting</li><li>Develop AI-powered features using Claude AI smart test generation, failure triage, and support agents</li><li>Evolve the RW+ AI Customer Support Agent and HubSpot integrations</li><li>Contribute to product features on the React front-end and NestJS back-end</li><li>Collaborate with product and engineering teams to translate business needs into scalable automated solutions</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3 5 years of software engineering or QA automation experience</li><li>Hands-on experience with Playwright or similar E2E testing frameworks</li><li>Experience with Cucumber, Gherkin, or other BDD frameworks</li><li>Proficiency in Python for scripting and automation</li><li>Knowledge of Pytest, Jest, or Vitest for test automation</li><li>Experience with API testing tools: Postman, Supertest, or REST Assured</li><li>Familiarity with N8N or similar workflow automation tools</li><li>Experience working with LLM APIs (Claude, OpenAI, or similar)</li><li>Solid understanding of REST APIs, webhooks, and integration patterns</li><li>Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) for automated test integration</li><li>Experience with test reporting tools such as Allure or HTML reporters</li></ul><p>Nice to Have</p><ul><li>Experience with React and NestJS</li><li>Familiarity with HubSpot integrations or CRM automation</li><li>Experience with prompt engineering and AI agent design</li><li>Familiarity with Docker, CI/CD, or DevOps basics</li><li>Background in SaaS or B2B enterprise software</li></ul><p>Bonus: Car Rental Domain Knowledge</p><ul><li>Candidates with car rental industry experience are strongly preferred:</li><li>Experience building or working with car rental / fleet management software</li><li>Knowledge of reservations, rental agreements, rate management, CDW/LDW/PAI, ACRISS classification</li><li>Prior exposure to platforms like RentWorks, Thermeon, or similar RMS solutions</li><li>Understanding of RevPAD, Direct Bill, or channel management concepts</li></ul><p></p></section>

Company Description - Software Solutions is a leading provider of software and IT solutions with over 35 years of experience, serving clients in Lebanon, Saudi Arabia, Qatar, and across the MENA region. Supported by a team of more than 200 professionals, the company delivers high-quality, integrated solutions that streamline business processes and enable digital transformation. The company offers a wide range of products, including ERP systems with HR and payroll modules, specialized payroll and school systems, POS, e-commerce platforms, mobile sales automation, and warehouse management solutions. The company maintains strong partnerships with global technology leaders such as SAP, Microsoft, LS Retail, Odoo, and others, ensuring access to advanced tools and best practices. With a robust project management approach, the company focuses on seamless implementation and tailored solutions that help organizations grow and operate more efficiently. <br> <br>Role Description The Senior Odoo Support Specialist is a full-time, on-site role based in Ras Beirut. This role is responsible for providing high-level technical and functional support to clients experiencing issues with their Odoo ERP systems across all modules. Day-to-day tasks include receiving escalated customer calls, analyzing and diagnosing complex system problems across accounting, sales, inventory, HR, payroll, manufacturing, CRM, project management, e-commerce, and other Odoo modules, guiding users through troubleshooting steps, and ensuring timely resolution of Odoo-related inquiries. The specialist collaborates closely with clients and internal technical teams to resolve software bugs, configure system workarounds, optimize Odoo modules, and support system updates or enhancements. The role also involves documenting support cases, conducting root-cause analysis, providing training on module-specific features, and contributing to the continuous improvement of the company's Odoo support services and knowledge base. <br> <br>Qualifications <br> <br> <br> <br> Candidates should possess strong skills in Odoo ERP Administration and Support across multiple modules, including configuration, troubleshooting, and system maintenance. <br> Candidates should possess comprehensive knowledge of core Odoo modules including Accounting, Sales, Inventory, HR, Payroll, Manufacturing, CRM, Project Management, E-Commerce, and Warehouse Management. <br> Candidates should possess solid Customer Service and Technical Support knowledge, with experience in handling escalated calls and managing client expectations in a multi-module environment. <br> Candidates should possess robust Analytical Skills, including the ability to interpret error logs, diagnose software issues across different modules, and propose effective technical solutions. <br> Candidates should possess understanding of complex Business Processes and workflows across various departments and their integration within the Odoo ecosystem. <br> Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related technical field. <br> Experience implementing or providing advanced support for Odoo ERP across multiple modules or similar comprehensive business software solutions. <br> Familiarity with ITIL practices and ticketing systems for managing customer support requests. <br> Strong communication and client-facing skills, with the ability to explain complex technical concepts to non-technical users over the phone and conduct training sessions. <br> Proficiency in Python and PostgreSQL is an advantage for understanding Odoo's backend structure and customizing solutions. <br> Ability to work collaboratively in cross-functional teams and manage multiple urgent client issues effectively

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Join our team to design, build, and maintain reliable software systems that enable scalable product delivery and continuous improvement. You ll work closely with cross-functional partners to ship features on schedule, enhance performance and reliability, and strengthen code quality while supporting deployments and service monitoring.</p><p>Create and maintain robust, production-ready software solutions by applying strong programming skills, API and database expertise, and disciplined engineering practices (testing, version control, and CI/CD) to reduce defects, improve reliability, and deliver measurable performance and maintainability gains.</p><p>Job Duties and Responsibilities</p><ul><li>Programming (Java/Python/JavaScript/C#)</li><li>API Development (REST/GraphQL)</li><li>Database Design (SQL/NoSQL)</li><li>Version Control (Git)</li><li>Testing (unit/integration)</li><li>Cloud &amp; CI/CD Concepts</li><li>Problem-solving</li><li>Collaboration and teamwork</li><li>Clear communication</li><li>Ownership and accountability</li><li>Performance &amp; Reliability Optimization</li><li>Production Incident Management</li><li>Deployment Support &amp; Service Monitoring</li><li>Code Quality &amp; Maintainability</li><li>Defect Fixing</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Programming (Java/Python/JavaScript/C#)</li><li>APIs (REST/GraphQL)</li><li>Databases (SQL/NoSQL)</li><li>Version control (Git)</li><li>Testing (unit/integration)</li><li>Cloud/CI/CD concepts</li><li>Problem-solving</li><li>Collaboration and teamwork</li><li>Clear communication</li><li>Ownership and accountability</li></ul><p></p></section>

<p><h4>Description</h4> <p>Aspire Software is looking for an intermediate - senior software developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>We are looking for an intermediate full-stack developer to join our agile and fast-paced engineering team.</p> <p>In this role, you will work closely with our lead developer to maintain, improve, and expand the Sadie platform. You’ll contribute to building scalable features, improving system reliability, and enhancing AI-driven functionality across the product.</p> <p>This is a high-impact position where you’ll take ownership of meaningful parts of the codebase and help shape the future of an AI-first product in the automotive industry.</p> <h4>Key responsibilities</h4> <ul> <li>Develop and maintain features across the full stack (frontend and backend)</li> <li>Collaborate with the lead developer on architecture decisions and system improvements</li> <li>Build scalable, high-performance UI components using React, Next.js, and TypeScript</li> <li>Develop and maintain backend services using Python (FastAPI or similar)</li> <li>Integrate and optimize AI/LLM-powered features within the platform</li> <li>Write clean, maintainable, and well-documented code</li> <li>Participate in code reviews and technical discussions</li> <li>Improve system reliability, performance, and monitoring</li> </ul> <h4>Requirements</h4> <ul> <li>Strong skills in React, Next.js, and TypeScript</li> <li>Solid experience with Python (FastAPI or similar frameworks)</li> <li>Good understanding of REST APIs and modern web architecture</li> <li>Experience working with production applications</li> <li>Ability to work independently while collaborating in a small team</li> <li>Strong problem-solving and debugging skills</li> <li>Comfortable working in a fast-paced startup environment</li> <li>Experience implementing automated testing (unit, integration, or end-to-end testing)</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience integrating LLMs into real-world applications (OpenAI, Vertex AI, etc.)</li> <li>Experience implementing automated testing (unit, integration, or end-to-end testing)</li> <li>Familiarity with monitoring and analytics tools (Sentry, Signoz, etc.)</li> <li>Experience building or scaling AI-powered SaaS platforms</li> <li>Previous exposure to DMS or dealership-related software</li> </ul></p><p></p>

<p><h4>About the company</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>We are looking for a senior machine learning engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p> <h4>What you'll work on</h4> <ul> <li><strong>Pricing intelligence:</strong> Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li> <li><strong>Demand forecasting:</strong> Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li> <li><strong>Safe experimentation:</strong> Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li> <li><strong>Production ML:</strong> Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li> <li><strong>Problem-solving and customer investigations:</strong> Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li> <li><strong>Data and intelligent experiences:</strong> Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li> </ul> <h4>Tech stack</h4> <ul> <li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li> <li>PostgreSQL/Supabase and Redis</li> <li>Pandas, Polars, NumPy, and statsmodels</li> <li>OpenAI, Anthropic, LangChain, and LangGraph</li> <li>PredictHQ and multiple hotel PMS and market-data integrations</li> <li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li> <li>Docker, GitHub Actions, Prometheus, and PostHog</li> </ul> <h4>Requirements</h4> <ul> <li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li> <li>Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.</li> <li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li> <li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li> <li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li> <li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li> <li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li> <li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li> <li>The judgment to balance model sophistication with reliability, explainability, and business value.</li> <li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li> <li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li> <li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li> <li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li> </ul> <h4>Nice to have</h4> <p>You do not need everything on this list:</p> <ul> <li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li> <li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li> <li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li> <li>Causal inference and off-policy evaluation.</li> <li>Model drift, data-quality monitoring, and experiment-tracking systems.</li> <li>Multi-tenant SaaS or event-driven architectures.</li> <li>Debugging distributed systems and third-party integrations in production.</li> <li>LLM applications and agentic workflows.</li> <li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li> <li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li> </ul> <h4>What we value</h4> <ul> <li>Speed with quality — ship fast, but ship code and models a staff engineer would approve.</li> <li>AI-native workflow — you don't just know about AI tools, you use them daily to write, debug, and architect.</li> <li>Ownership — pick up a problem and drive it to completion without hand-holding.</li> <li>Simplicity — elegant solutions over over-engineered ones. Minimal code that does the job.</li> <li>Curiosity — our domain (hotel revenue optimization) has real depth. You're excited to learn it.</li> </ul></p><p></p>

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p><p>What You'll Work On</p><ul><li>Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li><li>Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li><li>Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li><li>Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li><li>Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li><li>Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li></ul><p>Tech Stack</p><ul><li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li><li>PostgreSQL/Supabase and Redis</li><li>Pandas, Polars, NumPy, and statsmodels</li><li>OpenAI, Anthropic, LangChain, and LangGraph</li><li>PredictHQ and multiple hotel PMS and market-data integrations</li><li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li><li>Docker, GitHub Actions, Prometheus, and PostHog</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li></ul><p>Nice to Have</p><ul><li>You do not need everything on this list:</li><li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul><p>What We Value</p><ul><li>Speed with quality: Ship fast, but ship code and models a staff engineer would approve</li><li>AI-native workflow: You don't just know about AI tools, you use them daily to write, debug, and architect</li><li>Ownership: Pick up a problem and drive it to completion without hand-holding</li><li>Simplicity: Elegant solutions over over-engineered ones. Minimal code that does the job</li><li>Curiosity: Our domain (hotel revenue optimization) has real depth. You're excited to learn it</li></ul>

<p><h4>About Octopus by RTG</h4> <p>Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.</p> <h4>Job overview</h4> <p>The Digital Marketing, CRM & Loyalty Lead will be responsible for driving app marketing initiatives, CRM and lifecycle marketing programs, loyalty operations, data analysis and reporting, and managing relationships with key vendors and stakeholders.</p> <h4>Key responsibilities</h4> <p><strong>App marketing & campaign management (40%)</strong><br> Execute campaigns across the mobile application.<br> Manage offer builds, push notifications, in-app content, and delivery channel activations.</p> <p><strong>CRM & lifecycle marketing (25%)</strong><br> Develop automated CRM programs across onboarding, engagement, retention, and reactivation.<br> Manage CRM agency relationships from briefing through execution and performance review.</p> <p><strong>Loyalty program management (20%)</strong><br> Own loyalty program operations, including earn/burn mechanics, reward catalog, point thresholds, and expiry policies.<br> Plan and execute booster campaigns on both the burn side (discounted redemptions) and earn side (point multipliers) to drive engagement and redemption rates.</p> <p><strong>Data & reporting (15%)</strong><br> Write and maintain BigQuery SQL across transactional app data, GA4 event data, and CRM platform exports.<br> Build dashboards for stakeholders and senior leadership using Python, Looker Studio, and in-house web tooling.<br> Prepare monthly leadership reports, including Excel-based reporting where required.<br> Conduct incremental sales analysis for offers and campaigns, including methodology design, control group selection, baseline construction, and accounting for halo effects.</p> <p><strong>Vendor & stakeholder management</strong><br> Act as the primary contact for the loyalty platform vendor, CRM agency, app development partner, MMP, and analytics providers.<br> Coordinate cross-functional alignment with Marketing, Operations, Finance, Legal, and Technology teams.</p> <h4>Requirements</h4> <li>Experience in digital marketing, CRM, loyalty programs, or customer engagement.</li> <li>Hands-on experience executing app marketing campaigns, including push notifications, in-app content, offers, and channel activations.</li> <li>Experience developing and managing CRM and lifecycle marketing programs across onboarding, engagement, retention, and reactivation.</li> <li>Experience working with CRM agencies and managing campaign execution and performance reviews.</li> <li>Knowledge of loyalty program operations, including earn/burn mechanics, reward structures, point management, and redemption campaigns.</li> <li>Experience planning and executing customer engagement and loyalty initiatives.</li> <li>Strong SQL skills with experience working on large datasets (BigQuery preferred).</li> <li>Experience analyzing transactional, CRM, and customer behavior data.</li> <li>Experience with Google Analytics 4 (GA4).</li> <li>Experience building dashboards and reports using tools such as Looker Studio and Python.</li> <li>Ability to perform campaign performance analysis and measure incremental sales impact.</li> <li>Experience working with control groups, baseline analysis, and campaign measurement methodologies.</li> <li>Experience managing external vendors and agency partners.</li> <li>Strong stakeholder management skills with the ability to collaborate across Marketing, Operations, Finance, Legal, and Technology teams.</li></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Murex is a global fintech leader in trading, risk management and processing solutions for capital markets. Operating from our 19 offices, 3 400 Murexians from over 65 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world. Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. You ll be part of one global team where you can learn fast and stay true to yourself.</p><p>The Team: You will become a part of the Trading Instruments and Analytics Domain (TIA) which is at the heart of MX.3 software evolution, where you will become a member of the Financial Engineering team. Our multi-cultural team designs, validates and delivers Murex Advanced Analytics (MACS) which is a combination o f rich catalogue of derivative products covering all asset classes, and a large set of models for evaluation and risk management of derivatives. We work closely with the quant development and integration teams to enhance our products and models. We provide our quantitative expertise and collaborate with Front Office Trading teams like EQD, Non-Linear Rates, FXD, COM, etc. to build trading solutions. Similarly, we assist Client Services and regional offices across the globe to provide cutting-edge solutions for our clients. As an illustration of subjects, the team is currently investing heavily in the evolution and deployment of the last generation of Stochastic-Local Volatility model for FX and equity derivatives powered by neural networks acceleration , as well as the Forward Market Model for the interest rates derivatives, but also on the modernization of the integration stack of our whole catalogue of analytics. We leverage our REST services based internal ecosystem for model validation, with access to market data, and MACS pricing Service, to conduct the large-scale model tests using python. And we would like to automate our products testing further using MX.3 last generation of public APIs.</p><p>What you ll do : You will be working alongside financial engineers, consultants, quant analysts, model developers, model validators and product experts worldwide. As a part of the cross-asset team, you will be contributing towards the common goal of the Analytics product management, more precisely:</p><ul><li>Product support: addressing client questions analysis of derivatives mispricing organizing corrective maintenance with development teams enhancement of product documentation</li><li>Product evolution: analysis of client business requirements following market trends and establishment of the solution roadmap preparation of product specifications to address internal or client requirements validation of payoffs and models documentation &amp; demonstration of the new functionalities</li></ul><p>As a team member within an experienced agile team composed of consultants and developers , you will learn and participate by bringing context of requirements to developers, participate in new features testing, team demos and production of test reports for our customers.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Who you are : You are passionate about technology and financial mathematics Strong academic background in a quantitative field (Computer Science, Engineering, Physics, Mathematics w/ understanding of stochastic processes) Financial mathematics background is a plus You have strong analytical and problem-solving skills. You can leverage a programming language ( e.g. python) to enhance your productivity . You can efficiently communicate in multicultural environment: English is a must. In each challenge you see an opportunity for growth . You can handle multiple projects in parallel and adapt to eventual emergencies.</p><p></p></section>

<p><h4>Description<\/h4>\n<p>Aspire Software is looking for an AI engineer to join our team in Lebanon.<\/p>\n<p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<\/p>\n<h4>About the job<\/h4>\n<h4>How we work with AI<\/h4>\n<p>AI is a teammate, not a magic wand. We expect you to use it daily for code generation, refactoring, debugging, and code review \u2014 and to be honest about its limits. Verify, don't trust blindly.<\/p>\n<p>Velocity matters. This is a one-developer project supporting a real HR team. We ship multiple changes per day and iterate based on direct user feedback. We do not do month-long rewrites.<\/p>\n<p>You own the judgment. Architecture, security, and data-correctness decisions are yours. AI tools accelerate execution; they don't replace thinking about edge cases (a single bad salary record can blow up a $50M number \u2014 ask me how I know).<\/p>\n<p>You'll work directly with the user. No PM, no ticket queue. Conversations happen in Teams or a short weekly sync. Bring context, ask before assuming, push back when needed.<\/p>\n<h4>What you'll do<\/h4>\n<ul>\n<li>Refactor the frontend into a modular, component-based architecture (React \/ Vue \/ Svelte \u2014 your call, with reasoning). Preserve all existing functionality and visual design.<\/li>\n<li>Move data off disk to a real database (Postgres or our existing Supabase) with proper migrations and a query layer.<\/li>\n<li>Harden security. Replace the current token-based auth with proper session management, add MFA for admins, add audit logging for sensitive views, pen-test the upload endpoints.<\/li>\n<li>Set up CI\/CD. GitHub Actions for linting, type-check, automated tests, preview deployments. Today every change goes straight to production.<\/li>\n<li>Add observability. Error tracking (Sentry or similar), basic uptime\/performance monitoring, structured server logs.<\/li>\n<li>Document the data pipeline. From BambooHR weekly export ? CSV upload ? application state. Today this lives in scattered Python and JS.<\/li>\n<\/ul>\n<h4>Requirements<\/h4>\n<ul>\n<li>5+ years full-stack: modern JS\/TS frontend framework, Node.js, Postgres, REST\/JSON APIs.<\/li>\n<li>Strong opinions on incremental refactoring over rewrites. We can't afford a 6-month \"stop the world\" rebuild.<\/li>\n<li>Experience with auth (OAuth\/SSO, RBAC), security best practices, and threat modeling.<\/li>\n<li>DevOps fluency: CI\/CD pipelines, environment management, monitoring\/alerting.<\/li>\n<li>Comfortable with charting libraries (Chart.js, D3, or similar).<\/li>\n<li>AI fluency. Daily use of AI coding tools (Claude Code, Cursor, Copilot, or similar) \u2014 comfortable shipping production code with AI in the loop, while exercising independent judgment on architecture and security. Bonus if you've built features that call LLM APIs directly (the existing Roster chatbot and the planned HR-Jira automation agent will benefit).<\/li>\n<\/ul>\n<h4>Nice to have<\/h4>\n<ul>\n<li>HR or workforce-analytics domain experience.<\/li>\n<li>Experience with Render, Supabase, or BambooHR's API.<\/li>\n<li>Python (for the weekly export pipeline).<\/li>\n<\/ul>\n<h4>Success looks like, after 6 months<\/h4>\n<ul>\n<li>Frontend split into a maintainable codebase with tests.<\/li>\n<li>Page-load and tab-switch times measurably faster (target: <1s for first meaningful paint).<\/li>\n<li>All data persisted in the database with migrations and backups.<\/li>\n<li>Auth, audit, and monitoring in place; no production incidents from missing observability.<\/li>\n<li>Same HR team using it, no regressions, plus a documented runbook for future contributors.<\/li>\n<\/ul><\/p><p><\/p>

<p><h4>Aspire Software company overview</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Aspire Software company overview</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p> <p> </p> <p>Software Engineer (Backend)</p> <p>We're hiring a Backend Software Engineer to design, build, and maintain the server-side systems that power our products. You'll own APIs, services, and data layers writing clean, reliable code and shipping features that scale. We embrace modern AI-assisted development tools to work faster and smarter, and you'll be encouraged to use them.</p> <p><b>Responsibilities</b></p> <ul> <li>Design, build, and maintain backend services, APIs, and databases</li> <li>Write clean, testable, well-documented code</li> <li>Optimize applications for performance, scalability, and reliability</li> <li>Collaborate with frontend engineers, product, and design to deliver features</li> <li>Participate in code reviews, architecture discussions, and on-call rotations as needed</li> </ul> <p> </p> <p> </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>Strong programming skills in one or more backend languages (e.g. Python, Go, Java, Node.js)</li> <li>Experience designing and building RESTful or GraphQL APIs</li> <li>Solid understanding of databases (SQL and/or NoSQL) and data modeling</li> <li>Familiarity with version control, testing, and CI/CD practices</li> <li>Comfortable using AI-assisted development tools (e.g. GitHub Copilot, Claude) to boost productivity</li> </ul> <p>Nice to Have</p> <ul> <li>Experience with cloud platforms (AWS, GCP, or Azure)</li> <li>Knowledge of containerization and orchestration (Docker, Kubernetes)</li> <li>Familiarity with microservices architecture</li> </ul><p></p></section>

<p><h4>Description</h4> <p>Aspire Software is looking for a system administrator to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>Key responsibilities</h4> <ul> <li>Administer Windows Server and Linux VM environments – Ubuntu/RHEL, ensuring high availability, performance, and security compliance</li> <li>Administer Dell blade server environments and enterprise SAN/NAS storage – performance tuning and capacity planning</li> <li>Oversee VMware vSphere environment including ESXi hosts, vCenter, and VM lifecycle management</li> <li>Maintain high availability configurations and ensure infrastructure resilience for production systems</li> <li>Lead regular maintenance windows, patching cycles, and hardware lifecycle planning</li> <li><strong>SQL Server administration (must-have)</strong></li> <li>Manage and maintain SQL Server databases across multiple environments – dev, staging, QA, production</li> <li>Administer SQL Server Always On Availability Groups and/or Failover Cluster Instances</li> <li>Perform database performance tuning, index optimization, and query analysis</li> <li>Execute and validate backup, restore, and disaster recovery procedures for SQL environments</li> <li>Partner with development teams to troubleshoot slow queries and support schema changes</li> <li>Manage SQL security, roles, permissions, and auditing best practices</li> <li><strong>Windows / IIS administration (must-have)</strong></li> <li>Manage and maintain IIS web server configurations for .NET applications across multiple servers</li> <li>Administer application pools, SSL certificate bindings, and site configurations</li> <li>Troubleshoot IIS performance issues, 500-series errors, and application layer problems</li> <li>Support Active Directory, DNS, DHCP, Group Policy, and Windows Server services</li> <li><strong>DevOps & automation</strong></li> <li>Maintain and improve CI/CD pipelines supporting application deployments – TeamCity, Octopus Deploy, or similar</li> <li>Write and maintain automation scripts to reduce manual operational work – PowerShell, Bash, Python</li> <li>Manage Docker-based containerized workloads and support container orchestration</li> <li>Support Infrastructure as Code practices for environment provisioning and configuration management</li> <li>Collaborate with development teams to streamline deployment processes and improve release reliability</li> <li><strong>Cloud & hybrid infrastructure</strong></li> <li>Manage cloud-hosted environments on Azure, AWS and GCP – VMs, backups, region-specific customer environments</li> <li>Administer Veeam Backup for both local NAS and cloud-based backup targets</li> <li>Support hybrid connectivity, VPN management, and cross-region performance</li> <li>Optimize cloud resource usage and manage costs across environments</li> <li><strong>Networking & security</strong></li> <li>Manage firewalls, VLANs, routing, and network segmentation in a datacenter environment</li> <li>Oversee HAProxy or similar load balancing configurations across web and application tiers</li> <li>Enforce security policies, conduct access reviews, and support compliance requirements</li> <li>Manage SSL certificate lifecycle across internal and customer-facing services</li> <li><strong>Monitoring & incident response</strong></li> <li>Maintain infrastructure and application monitoring using tools such as Zabbix, LogicMonitor, Graylog, or similar</li> <li>Lead root cause analysis for production incidents and communicate findings to stakeholders</li> <li>Provide on-call support for critical infrastructure issues</li> <li>Document runbooks, incident response procedures, and system configurations</li> </ul> <h4>Requirements</h4> <ul> <li>SQL Server 2014–2022, Always On AG or FCI, performance tuning, T-SQL, backup/restore, SSMS</li> <li>IIS / Windows IIS 8.5+, .NET application hosting, app pool management, SSL configuration, Windows Server 2016+</li> <li>Linux Ubuntu / Red Hat / CentOS server administration, shell scripting, service management</li> <li>Experience 3–5+ years in a senior sysadmin or infrastructure engineer role in a production environment</li> </ul> <h4>Strong assets</h4> <ul> <li>Virtualization VMware vSphere / ESXi / vCenter, VM lifecycle management, resource optimization</li> <li>Storage enterprise SAN/NAS management, Dell PowerStore or similar, FC connectivity, storage performance</li> <li>DevOps CI/CD pipelines, PowerShell / Bash / Python scripting, Docker, IaC fundamentals</li> <li>Networking firewalls (Cisco ASA, Palo Alto, Fortinet), HAProxy, VLANs, VPN, routing fundamentals</li> <li>Cloud Azure and/or GCP – VM management, backup targets, hybrid connectivity, cloud-hosted environments</li> <li>Active Directory multi-domain AD, GPO, ADFS, DNS/DHCP administration</li> </ul> <h4>Nice to have</h4> <ul> <li>DevOps tools TeamCity, Octopus Deploy, Terraform, Ansible, Kubernetes basics</li> <li>Logging Graylog, ELK Stack, or similar centralized log management</li> </ul></p><p></p>

<p><h4>Aspire Software is looking for a Senior Software Developer to join our team in Lebanon.</h4> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>What your day will look like:</h4> <ul> <li>A Computer Science/Software Engineering degree, or equivalent experience</li> <li>5+ years overall backend development experience</li> <li>Demonstrated proficiency using AI tools for development</li> <li>Node.js (Nest.js/Next.js/Express) or Python (Flask/Django), NoSQL databases (MongoDB)</li> <li>Experience creating enterprise web applications on AWS with strong knowledge of: API Gateways, Lambda Function, Cognito, Amplify, Application Load Balancers, ECS/EKS</li> <li>Experience building AWS architectures for web applications using VPCs, IAM security policies, Kubernetes, Docker and MongoDB Atlas</li> </ul> <h4>Requirements</h4> <ul> <li>Excellent troubleshooting skills and ability to work under pressure (i.e. site outages)</li> <li>You are detail and results-oriented, self-motivated, and persistent</li> <li>You have analytical, problem-solving, and decision-making skills</li> <li>Excellent interpersonal and communication (verbal and written) skills</li> <li>You enjoy a challenge and are curious, with a passion for innovating</li> </ul></p><p></p>

<p>About the Role We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond. What You'll Do Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure) Build and maintain CI/CD pipelines for fast, safe, automated deployments Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments Containerize and orchestrate services (Docker, Kubernetes) as the system grows Set up observability: monitoring, logging, alerting, and tracing across the stack Manage and optimize the cost, latency, and reliability of LLM and AI workloads Own security, secrets management, and access controls across environments Establish backup, disaster-recovery, and incident-response practices for the pilot</p><p><strong>Desired Candidate Profile</strong></p><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul>